Quality evaluation of government epidemic data openness based on cloud model and PSR theory

Liu Yang, Jian Wang, Zebin Zhao
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Abstract

Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions’ epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.
基于云模型和PSR理论的政府疫情数据开放质量评价
政府数据开放已成为大数据时代政府应急管理的关键措施之一。深入调查突发公共卫生事件下政府数据开放的质量,有助于把握现状,为今后的工作提供经验。本文采用基于PSR理论的框架对中国31个地区卫生健康委员会的疫情数据开放进行了评估,并采用云模型对国家和地区两个层面的政府数据开放质量进行了评估。疫情下中国政府数据开放综合评价水平为一般水平,各地区数据开放水平差异较大。数据状态是制约数据开放水平的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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